Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer Data

We propose and compare combinations of several methods for classifying transportation activity data from smartphone GPS and accelerometer sensors. We have two main objectives. First, we aim to classify our data as accurately as possible. Second, we aim to reduce the dimensionality of the data as muc...

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Detalles Bibliográficos
Autores principales: Martin, Bryan D., Addona, Vittorio, Wolfson, Julian, Adomavicius, Gediminas, Fan, Yingling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620731/
https://www.ncbi.nlm.nih.gov/pubmed/28885550
http://dx.doi.org/10.3390/s17092058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620731/
https://www.ncbi.nlm.nih.gov/pubmed/28885550
http://dx.doi.org/10.3390/s17092058

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